import { DataSource } from 'typeorm' import { getVars, handleEscapeCharacters, executeJavaScriptCode, createCodeExecutionSandbox } from '../../../src/utils' import { ICommonObject, IDatabaseEntity, INode, INodeData, INodeParams, ISeqAgentNode, ISeqAgentsState } from '../../../src/Interface' import { AIMessage, BaseMessage, HumanMessage } from '@langchain/core/messages' import { customGet } from '../commonUtils' const howToUseCode = ` 1. Must return a string value at the end of function. 2. You can get default flow config, including the current "state": - \`$flow.sessionId\` - \`$flow.chatId\` - \`$flow.chatflowId\` - \`$flow.input\` - \`$flow.state\` 3. You can get custom variables: \`$vars.\` ` class CustomFunction_SeqAgents implements INode { label: string name: string version: number description: string type: string icon: string category: string baseClasses: string[] inputs: INodeParams[] constructor() { this.label = 'Custom JS Function' this.name = 'seqCustomFunction' this.version = 1.0 this.type = 'CustomFunction' this.icon = 'customfunction.svg' this.category = 'Sequential Agents' this.description = `Execute custom javascript function` this.baseClasses = [this.type] this.inputs = [ { label: 'Input Variables', name: 'functionInputVariables', description: 'Input variables can be used in the function with prefix $. For example: $var', type: 'json', optional: true, acceptVariable: true, list: true }, { label: 'Sequential Node', name: 'sequentialNode', type: 'Start | Agent | Condition | LLMNode | ToolNode | CustomFunction | ExecuteFlow', description: 'Can be connected to one of the following nodes: Start, Agent, Condition, LLM Node, Tool Node, Custom Function, Execute Flow', list: true }, { label: 'Function Name', name: 'functionName', type: 'string', placeholder: 'My Function' }, { label: 'Javascript Function', name: 'javascriptFunction', type: 'code', hint: { label: 'How to use', value: howToUseCode } }, { label: 'Return Value As', name: 'returnValueAs', type: 'options', options: [ { label: 'AI Message', name: 'aiMessage' }, { label: 'Human Message', name: 'humanMessage' }, { label: 'State Object', name: 'stateObj', description: "Return as state object, ex: { foo: bar }. This will update the custom state 'foo' to 'bar'" } ], default: 'aiMessage' } ] } async init(nodeData: INodeData, input: string, options: ICommonObject): Promise { const functionName = nodeData.inputs?.functionName as string const javascriptFunction = nodeData.inputs?.javascriptFunction as string const functionInputVariablesRaw = nodeData.inputs?.functionInputVariables const appDataSource = options.appDataSource as DataSource const databaseEntities = options.databaseEntities as IDatabaseEntity const sequentialNodes = nodeData.inputs?.sequentialNode as ISeqAgentNode[] const returnValueAs = nodeData.inputs?.returnValueAs as string if (!sequentialNodes || !sequentialNodes.length) throw new Error('Custom function must have a predecessor!') const executeFunc = async (state: ISeqAgentsState) => { const variables = await getVars(appDataSource, databaseEntities, nodeData, options) const flow = { chatflowId: options.chatflowid, sessionId: options.sessionId, chatId: options.chatId, input, state } let inputVars: ICommonObject = {} if (functionInputVariablesRaw) { try { inputVars = typeof functionInputVariablesRaw === 'object' ? functionInputVariablesRaw : JSON.parse(functionInputVariablesRaw) } catch (exception) { throw new Error('Invalid JSON in the Custom Function Input Variables: ' + exception) } } // Some values might be a stringified JSON, parse it for (const key in inputVars) { let value = inputVars[key] if (typeof value === 'string') { value = handleEscapeCharacters(value, true) if (value.startsWith('{') && value.endsWith('}')) { try { value = JSON.parse(value) const nodeId = value.id || '' if (nodeId) { const messages = state.messages as unknown as BaseMessage[] const content = messages.find((msg) => msg.additional_kwargs?.nodeId === nodeId)?.content if (content) { value = content } } } catch (e) { // ignore } } if (value.startsWith('$flow.')) { const variableValue = customGet(flow, value.replace('$flow.', '')) if (variableValue) { value = variableValue } } else if (value.startsWith('$vars')) { value = customGet(flow, value.replace('$', '')) } inputVars[key] = value } } // Create additional sandbox variables const additionalSandbox: ICommonObject = {} // Add input variables to sandbox if (Object.keys(inputVars).length) { for (const item in inputVars) { additionalSandbox[`$${item}`] = inputVars[item] } } const sandbox = createCodeExecutionSandbox(input, variables, flow, additionalSandbox) try { const response = await executeJavaScriptCode(javascriptFunction, sandbox) if (returnValueAs === 'stateObj') { if (typeof response !== 'object') { throw new Error('Custom function must return an object!') } return { ...state, ...response } } if (typeof response !== 'string') { throw new Error('Custom function must return a string!') } if (returnValueAs === 'humanMessage') { return { messages: [ new HumanMessage({ content: response, additional_kwargs: { nodeId: nodeData.id } }) ] } } return { messages: [ new AIMessage({ content: response, additional_kwargs: { nodeId: nodeData.id } }) ] } } catch (e) { throw new Error(e) } } const startLLM = sequentialNodes[0].startLLM const returnOutput: ISeqAgentNode = { id: nodeData.id, node: executeFunc, name: functionName.toLowerCase().replace(/\s/g, '_').trim(), label: functionName, type: 'utilities', output: 'CustomFunction', llm: startLLM, startLLM, multiModalMessageContent: sequentialNodes[0]?.multiModalMessageContent, predecessorAgents: sequentialNodes } return returnOutput } } module.exports = { nodeClass: CustomFunction_SeqAgents }